Senior AI Infrastructure Platform Engineer, Assistant Vice President

State Street•Austin, TX

About The Position

This is an Infrastructure Lead/Mid-level Architect position in the Automation/Artificial Intelligence team. Our primary objective is to drive A/AI efforts across STT’s processes and functions; partner with business and technology teams to design and implement transformational A/AI across people, process and technology. As a member of the Global AI Team, the incumbent will partner with stakeholders across different business teams & regions, to identify opportunities, develop cutting edge technology solutions & work with business units and various other stakeholders to improve the efficiency & effectiveness of their processes, using levers Artificial Intelligence.

Requirements

Hands on expertise on Python, FastAPI, Unix, Docker, Postgres, Lang Chain / Lang Graph, Kubernetes, Databricks, API Management, AWS and Azure.
Design and deploy cloud-native applications using Azure Foundry, Open AI, Document Intelligence, Azure Functions, Azure Logic Apps, AWS Bedrock, AWS Sagemaker, AWS agent core, AWS Step Functions, AWS Lambda and EKS.
Experience in developing Gen AI and Agentic AI solutions, Fine tuning models, model selection, model evaluations and inferencing, frameworks and architectures.
Agile development methodology, CI/CD Development environments and tools (GIT, Maven, Harnes, etc).
API Development for interoperable Cloud solutions including a deep focus on building the best of breed solutions which are used at scale across enterprise.
Strong analytical skills, critical thinking, problem solving, and decision making.
Very strong organizational skills, ability to meet deadlines and proven experience in working with large cross functional teams will be a plus.
Bachelors Degree in Computer Science or Engineering.
5+ years of experience in Technology development or consulting on large-scale implementations in consulting or financial services industry.

Nice To Haves

Certification preferred in Cloud, AI & ML

Responsibilities

Contribute individually as well as lead GenAI /Agentic AI projects through full-stack development and architecture expertise.
Work across business and IT, requiring strong communication skills.
Lead Development projects independently and work with Business, IT and Infrastructure teams.
Work with a team of data scientists, machine learning engineers, software engineers and QA engineers.
Drive rollout & deployment of “self-service” technology platforms.
Create MVPs to assess feasibility and drive the automation strategy, to include all aspects of automation, AI and ML.
Work with project management facilitating development, managing sprints.
Work with Enterprise Architecture to present and review solution designs conforming to EA standards.
Create materials required to support future state execution (e.g., Design and development artifacts, JIRA stories etc).
Develop an in-depth understanding of business processes, functions, teams, incumbent technology.
Identify what’s standard vs. bespoke, and what drives value for clients.
Design an end-state that relies on the latest automation offerings.
Ensure the team has the highest likelihood of success, and all risks are managed by demonstrating consistent and proactive ownership of assigned responsibilities for standard work products, version control, model lifecycle, and Quality Control.

Benefits

Our retirement savings plan (401K) with company match
Insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages
Paid-time off including vacation, sick leave, short term disability, and family care responsibilities
Access to our Employee Assistance Program
Incentive compensation including eligibility for annual performance-based awards
Eligibility for certain tax advantaged savings plans
Inclusive development opportunities
Flexible work-life support
Paid volunteer days
Vibrant employee networks